z-logo
open-access-imgOpen Access
FRACTAL GEOMETRY OF THE RIVER NETWORK AND NEOTECTONICS OF THE SOUTHERN SIKHOTE-ALIN
Author(s) -
В. С. Захаров,
Д. А. Симонов,
Г. З. Гильманова,
А. Н. Диденко
Publication year - 2020
Publication title -
tihookeanskaâ geologiâ
Language(s) - English
Resource type - Journals
ISSN - 0207-4028
DOI - 10.30911/0207-4028-2020-39-6-48-64
Subject(s) - geology , fractal , shuttle radar topography mission , fractal dimension , geometry , digital elevation model , maxima and minima , maxima , geodesy , neotectonics , fault (geology) , seismology , remote sensing , mathematics , mathematical analysis , art , performance art , art history
A new complex parameter is proposed to characterize the self-similarity of a river network, that is, the parameter of river networks self-similarity (PRNS), which is a combination of the exponent in the distribution of channels along the lengths, fractal dimension of channels, and fractal dimension of points of channel order change, which is more correct when compared with neotectonic movements. A comprehensive analysis of the self-similarity of the river network model for the southern Sikhote-Alin derived from the Digital Elevation Model (DEM) based on the Shuttle Radar Topography Mission (SRTM) image was performed. Comparison of the results of morphostructural and fractal analyses showed a good correlation of these two methods. PRNS relative maxima coincide with areas where ascending neotectonic movements are of the largest amplitude (increment of relief), while minima coincide with areas either of the least increment of relief or where erosion rates are the greatest. At the same time, most epicenters of crustal earthquakes are confined to the boundary zones between PRNS relative maxima and minima, that is, uplifts are flanked by elongated seismic areas, which is related to the block nature of neotectonic vertical movements.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here